Exponential polynomial 2026-10-14
An exponential polynomial is a finite sum of polynomial multiples of exponentials. For distinct exponents, its terms are linearly independent over the polynomial ring: to isolate one term, apply the product of operators for all the other terms. On the remaining polynomial each operator becomes , which is injective because its nonzero constant preserves the leading coefficient. A nonzero exponential polynomial is an entire function of exponential type. Its maximum-modulus logarithm is , and Jensen's formula gives at most zeros, counted with multiplicity, in a disk of radius .
Past exam of the mathematics course of the University of Cambridge 2001 iii Paper 20 3 i Solution Created 2026-10-03 Updated 2026-10-14
The Gelfond–Schneider theorem says that if is algebraic and is algebraic irrational, then every value with is transcendental. Fix such a nonzero logarithm , and suppose is algebraic. The field then contains all values needed in Schneider lattice proof of the Gelfond–Schneider theorem.
Here is an outline including the parameter balance. For a large , choose polynomial degrees , , with constants large enough that . ImposeExpand these -linear equations in a rational basis and clear denominators. Siegel lemma gives a nonzero integer polynomial with . This follows because each coefficient in the grid equations has arithmetic height and the ratio of unknowns to constraints stays bounded away from one. The exponential polynomial is not identically zero: distinct exponentials are independent over the polynomial ring, as one sees by successively applying powers of to kill all but one term.
The irrationality of makes the grid points distinct. Their zeros make subsequent grid values extremely small. More precisely, if a whole grid has been obtained, take an outer radius . Growth gives . The product form of Schwarz's lemma contributes at the next grid points. Thereforefor large initial , unless the value is zero. But every such value is algebraic in the same , since . Its arithmetic height is , so the Liouville lower bound is incompatible with the displayed upper bound for a nonzero value. Induction extends the zero grid indefinitely.
A fixed nonzero exponential polynomial has only zeros in a disc of radius , by its exponential-type growth and Jensen's formula centered at a nonzero value. The grids give distinct zeros in a disc of radius , a contradiction. Thus is transcendental for every choice of logarithm, completing the Schneider lattice proof of the Gelfond–Schneider theorem.
Past exam of the mathematics course of the University of Cambridge 2005 iii Paper 29 2 Solution Created 2026-10-03 Updated 2026-10-14
An integer version of Siegel lemma is as follows. For homogeneous linear equations , with integer matrix entries bounded in absolute value by , there is a nonzero integer solution satisfyingPut the displayed integer bound equal to and evaluate the equations at every vector in . There are inputs and at most outputs. But and , so the number of inputs is larger. Two distinct inputs have identical outputs; their difference proves the claim. This is the pigeonhole proof of integer Siegel lemma. Rational coefficients are handled by clearing denominators. Over a number field of degree , expanding in a rational basis gives at most rational equations, so the same construction applies when , with the height of the resulting integer matrix controlling the bound.
Siegel's original arithmetic definition starts with an entire series , with all in a fixed number field. For every there must be positive integers such that are algebraic integers, and both and the absolute values of every conjugate of are . The growth condition ensures convergence everywhere. The stronger, now customary strict E-function definition uses bounds for a fixed and also includes the requirement of a nonzero linear differential equation over . In the original formulation, that differential condition is explicitly part of the system hypothesis in the theorem below. These definitions should be distinguished; the exponentials used here satisfy even the stronger conditions.
The Siegel–Shidlovsky theorem states that if a vector of E-functions satisfies , with a matrix of rational functions over , then for every nonzero algebraic which is not a pole of ,In particular, algebraic independence of the functions implies algebraic independence of the values. The exclusion of zero is necessary: their Taylor values there are algebraic.
Take rationally independent algebraic and . Their coefficients are , their conjugates grow exponentially, and powers of a fixed common denominator clear all coefficients through degree . They satisfy the nonsingular diagonal system .
To check functional independence, a polynomial relation among these exponentials, after clearing rational-function denominators, would be with distinct . Such an exponential polynomial cannot vanish identically. To isolate a nonzero term with exponent , apply . All other terms vanish, while the remaining polynomial is acted on by operators , each injective on polynomials because its nonzero constant preserves a nonzero leading coefficient. Thus the remaining term is nonzero, a contradiction.
The theorem at now makes algebraically independent. For arbitrary distinct algebraic exponents , choose a rational basis of their span and divide its elements by a common denominator so that every is an integer combination of the resulting . Then are distinct Laurent monomials in . A linear relation among them becomes a nonzero polynomial relation after multiplying by a common monomial, contradicting independence. These particular E-functions therefore yield the full Lindemann–Weierstrass theorem.